{"id":47025,"url":"https://alion.io/job/gbg-senior-machine-learning-engineer-3967","title":"Senior Machine Learning Engineer","company":{"id":6441,"name":"GBG","domain":"gbg.com","url":"https://alion.io/company/gbg","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":176000,"period":"year","method":"role_seniority_country_cell","sample_n":42},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"Image Segmentation","optional":true},{"name":"OpenCV","optional":true},{"name":"PEFT","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-17T13:19:54Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":71},"description":"About GBG\nEnabling safe and rewarding digital lives for genuine people, everywhere\nWe make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.\nWith over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.\nAbout the team and role\nCVML Teams\nAt the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.\nSenior Machine Learning Engineer\nThe Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production-grade systems. This role combines strong hands-on technical execution with mentorship, collaboration, and data-driven problem solving.\nOperating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality.\nWhat you will do\nTechnical Development & Innovation\nDesign, implement, and optimize state-of-the-art machine learning and computer vision models to enhance product capabilities.\nResearch, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision-language models.\nImplement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.\nFine-tune large-scale models using efficient adaptation techniques such as LoRA and QLoRA.\nModel Evaluation & Data Analysis\nDefine, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).\nAnalyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.\nPropose and implement data-driven enhancements to model accuracy, robustness, and system stability.\nProduction Deployment & MLOps\nSupport end-to-end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.\nContribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.\nAssist in diagnosing and resolving model performance regressions and production issues.\nMentorship & Team Contribution\nMentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.\nParticipate in design reviews, technical discussions, and knowledge-sharing initiatives to raise overall team capability.\nContribute actively to Agile ceremonies and collaborative problem-solving efforts.\nContinuous Improvement & Collaboration\nProactively suggest improvements to existing models, workflows, tools, and product features.\nCollaborate effectively with engineering, product, and data stakeholders to deliver high-impact ML solutions.\nMaintain awareness of emerging ML and computer vision trends and assess their applicability to real-world problems.\nSkills we're looking for\nBachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience\nStrong hands-on experience developing and deploying machine learning models in production environments.\nAdvanced understanding of supervised, unsupervised, and semi-supervised learning techniques.\nExpertise in classification, regression, clustering, and anomaly detection.\nSolid experience with convolutional neural networks, recurrent neural networks, and transformer-based models.\nStrong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)\nHands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning.\nExperience using computer vision and scientific computing libraries such as OpenCV.\nFamiliarity with model deployment, monitoring, and CI/CD workflows.\nBeneficial to have experience working with large-scale datasets and performance-critical ML systems.\nPrior experience mentoring or technically guiding other ML engineers.\nBeneficial to have exposure to production MLOps practices and model lifecycle management.\nAble to balances research-driven exploration with pragmatic, production-focused execution.\nTo find out more\nAs an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.\nTo chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to  and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.\nUnleash your potential and be part of our mission to power safe and rewarding digital lives.","description_format":"text","description_chars":6006,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Identity Management","Data Providers & Datasets"],"lifecycle":[{"event":"open","at":"2026-08-07T00:00:00Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.885,"p_room":0.6,"age_days":71,"expected_fill_days":80,"reasons":["conf:2","velocity","win:late","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/gbg-senior-machine-learning-engineer-3967","json_url":"https://alion.io/job/gbg-senior-machine-learning-engineer-3967.json","meta":{"generated_at":"2026-10-17T13:43:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18450,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6441},"rest":"https://alion.io/mcp/rest/get_company?id=6441"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgbg-senior-machine-learning-engineer-3967"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgbg-senior-machine-learning-engineer-3967"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgbg-senior-machine-learning-engineer-3967"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gbg-senior-machine-learning-engineer-3967\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgbg-senior-machine-learning-engineer-3967"}]}